{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "bf5424b9-ab4e-4ffd-83a1-937a0ce6e07d", "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "" ] }, "metadata": { "image/png": { "width": 100 } }, "output_type": "display_data" } ], "source": [ "from IPython.display import Markdown, Image, display\n", "display(Image(filename='Logo_br_Site.png', width=100))" ] }, { "cell_type": "markdown", "id": "f7b0beee-0b3e-4566-9a9f-94e5b474705c", "metadata": {}, "source": [ "**Graduando em Processos Gerenciais, Técnico em Administração (CRA-SP/CFA) e Técnico em Edificações (CRT-SP/CFT).** \n", "- Atuo com foco em análise de dados, gestão de suprimentos e projetos, orçamentação e plnaejamento de obras. \n", "Transformo informações em decisões, integrando visão técnica e gerencial para criar soluções eficientes e inteligentes.\n", "\n", "**sg@silvaniogois.com.br**" ] }, { "cell_type": "markdown", "id": "17d3af55-e5f4-47e5-943c-dc0cc1242a83", "metadata": {}, "source": [ "# Planejado vs Realizado\n", "### Este documento permite: \n", "- Avaliar o desempenho por tipo de tarefa.\n", "- Identificar gargalos e atrasos.\n", "- Fazer análises visuais por cronologia e responsáveis.\n", "### Objetivo:\n", "- Carregar e explorar os dados.\n", "- Gerar gráficos com Plotly para análise visual de desempenho.\n", "- Interpretar os resultados com base em categorias, responsáveis e prazos." ] }, { "cell_type": "markdown", "id": "c8dcd17f-1e83-4825-81af-6feeca9df687", "metadata": { "jp-MarkdownHeadingCollapsed": true }, "source": [ "## Parte 1 – Carregamento e Preparação dos dados" ] }, { "cell_type": "code", "execution_count": 2, "id": "8ee4dbb3-dcaf-4de4-8472-5a47f53056fe", "metadata": {}, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 3, "id": "92e97aa0-fdc0-4705-b089-7449c4110d62", "metadata": {}, "outputs": [], "source": [ "# Carregar os dados\n", "df = pd.read_csv(\"planejado_vs_realizado_construcao.csv\", parse_dates=[\n", " \"Data_Planejada\", \"Data_Real_Inicio\", \"Data_Planejada_Fim\", \"Data_Real_Fim\"\n", "])" ] }, { "cell_type": "code", "execution_count": 4, "id": "7a81d258-be5b-4870-9aa5-69f3cce2bf11", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 100 entries, 0 to 99\n", "Data columns (total 10 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Atividade 100 non-null object \n", " 1 Categoria 100 non-null object \n", " 2 Responsável 100 non-null object \n", " 3 Data_Planejada 100 non-null datetime64[ns]\n", " 4 Duracao_Planejada_dias 100 non-null int64 \n", " 5 Data_Real_Inicio 100 non-null datetime64[ns]\n", " 6 Duracao_Real_dias 100 non-null int64 \n", " 7 Data_Planejada_Fim 100 non-null datetime64[ns]\n", " 8 Data_Real_Fim 100 non-null datetime64[ns]\n", " 9 Atraso_dias 100 non-null int64 \n", "dtypes: datetime64[ns](4), int64(3), object(3)\n", "memory usage: 7.9+ KB\n", "None\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
AtividadeCategoriaResponsávelData_PlanejadaDuracao_Planejada_diasData_Real_InicioDuracao_Real_diasData_Planejada_FimData_Real_FimAtraso_dias
0Atividade 1CoberturaTerceiros2024-01-0192023-12-30142024-01-102024-01-133
1Atividade 2InstalaçõesEquipe B2024-01-0362024-01-0192024-01-092024-01-101
2Atividade 3InstalaçõesEquipe A2024-01-06132024-01-07182024-01-192024-01-256
3Atividade 4FundaçãoEquipe B2024-01-08102024-01-08142024-01-182024-01-224
4Atividade 5AcabamentoEquipe A2024-01-1172024-01-1142024-01-182024-01-15-3
\n", "
" ], "text/plain": [ " Atividade Categoria Responsável Data_Planejada \\\n", "0 Atividade 1 Cobertura Terceiros 2024-01-01 \n", "1 Atividade 2 Instalações Equipe B 2024-01-03 \n", "2 Atividade 3 Instalações Equipe A 2024-01-06 \n", "3 Atividade 4 Fundação Equipe B 2024-01-08 \n", "4 Atividade 5 Acabamento Equipe A 2024-01-11 \n", "\n", " Duracao_Planejada_dias Data_Real_Inicio Duracao_Real_dias \\\n", "0 9 2023-12-30 14 \n", "1 6 2024-01-01 9 \n", "2 13 2024-01-07 18 \n", "3 10 2024-01-08 14 \n", "4 7 2024-01-11 4 \n", "\n", " Data_Planejada_Fim Data_Real_Fim Atraso_dias \n", "0 2024-01-10 2024-01-13 3 \n", "1 2024-01-09 2024-01-10 1 \n", "2 2024-01-19 2024-01-25 6 \n", "3 2024-01-18 2024-01-22 4 \n", "4 2024-01-18 2024-01-15 -3 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
AtividadeCategoriaResponsávelData_PlanejadaDuracao_Planejada_diasData_Real_InicioDuracao_Real_diasData_Planejada_FimData_Real_FimAtraso_dias
95Atividade 96CoberturaEquipe B2024-08-25142024-08-27112024-09-082024-09-07-1
96Atividade 97InstalaçõesEquipe A2024-08-28142024-08-30132024-09-112024-09-121
97Atividade 98FundaçãoEquipe B2024-08-30142024-08-30122024-09-132024-09-11-2
98Atividade 99FundaçãoEquipe B2024-09-02112024-09-03122024-09-132024-09-152
99Atividade 100CoberturaEquipe B2024-09-0432024-09-0452024-09-072024-09-092
\n", "
" ], "text/plain": [ " Atividade Categoria Responsável Data_Planejada \\\n", "95 Atividade 96 Cobertura Equipe B 2024-08-25 \n", "96 Atividade 97 Instalações Equipe A 2024-08-28 \n", "97 Atividade 98 Fundação Equipe B 2024-08-30 \n", "98 Atividade 99 Fundação Equipe B 2024-09-02 \n", "99 Atividade 100 Cobertura Equipe B 2024-09-04 \n", "\n", " Duracao_Planejada_dias Data_Real_Inicio Duracao_Real_dias \\\n", "95 14 2024-08-27 11 \n", "96 14 2024-08-30 13 \n", "97 14 2024-08-30 12 \n", "98 11 2024-09-03 12 \n", "99 3 2024-09-04 5 \n", "\n", " Data_Planejada_Fim Data_Real_Fim Atraso_dias \n", "95 2024-09-08 2024-09-07 -1 \n", "96 2024-09-11 2024-09-12 1 \n", "97 2024-09-13 2024-09-11 -2 \n", "98 2024-09-13 2024-09-15 2 \n", "99 2024-09-07 2024-09-09 2 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Verificando estrutura dos dados.\n", "print(df.info())\n", "display(df.head()) # Primeiras 5 linhas da tabela.\n", "display(df.tail()) # ultimas 5 linhas da tabela" ] }, { "cell_type": "markdown", "id": "d3c62e00-9beb-4bb1-81d5-49395adf08e4", "metadata": {}, "source": [ "## Parte 2 – Visualizando os dados usando gráficos dinâmicos." ] }, { "cell_type": "markdown", "id": "dc67028a-d117-4a16-8cf4-69e552c9f0ec", "metadata": {}, "source": [ " **1. Atrasos por Categoria**\n", "- Explicação: o gráfico de boxplot mostra variação e tendência \n", " de atrasos dentro de cada categoria (ex: Fundação, Acabamento...)." ] }, { "cell_type": "code", "execution_count": 5, "id": "abff4097-9fb0-4faf-8661-2f53446dcb48", "metadata": {}, "outputs": [], "source": [ "import plotly.express as px" ] }, { "cell_type": "code", "execution_count": 6, "id": "7725973e-3a92-4ee4-874e-b1ec27e3b958", "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Categoria=%{x}
Atraso_dias=%{y}", "legendgroup": "Cobertura", "marker": { "color": "#636efa" }, "name": "Cobertura", "notched": false, "offsetgroup": "Cobertura", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura", "Cobertura" ], "x0": " ", "xaxis": "x", "y": [ 3, 4, 1, 3, 5, 8, 5, 4, -1, 1, -3, 4, -1, 2, 0, 3, -2, -2, 7, 5, 1, -4, 4, -1, 2 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Categoria=%{x}
Atraso_dias=%{y}", "legendgroup": "Instalações", "marker": { "color": "#EF553B" }, "name": "Instalações", "notched": false, "offsetgroup": "Instalações", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações", "Instalações" ], "x0": " ", "xaxis": "x", "y": [ 1, 6, 2, -3, -1, 6, 2, -3, 6, -1, 2, -2, 5, -1, 8, 1, -5, 3, 5, 0, 6, -2, -5, 1, -5, -1, 1 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Categoria=%{x}
Atraso_dias=%{y}", "legendgroup": "Fundação", "marker": { "color": "#00cc96" }, "name": "Fundação", "notched": false, "offsetgroup": "Fundação", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação", "Fundação" ], "x0": " ", "xaxis": "x", "y": [ 4, -5, 7, 3, 2, 0, 0, 2, 7, -2, 1, 5, -3, 5, 3, 5, 2, 1, -3, 2, -1, -1, -2, -2, -2, 2 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Categoria=%{x}
Atraso_dias=%{y}", "legendgroup": "Acabamento", "marker": { "color": "#ab63fa" }, "name": "Acabamento", "notched": false, "offsetgroup": "Acabamento", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Acabamento", "Acabamento", "Acabamento", "Acabamento", "Acabamento", "Acabamento", "Acabamento", "Acabamento", "Acabamento", "Acabamento", "Acabamento" ], "x0": " ", "xaxis": "x", "y": [ -3, -5, 5, 6, 6, 6, 7, 0, -1, 5, 1 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Categoria=%{x}
Atraso_dias=%{y}", "legendgroup": "Alvenaria", "marker": { "color": "#FFA15A" }, "name": "Alvenaria", "notched": false, "offsetgroup": "Alvenaria", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Alvenaria", "Alvenaria", "Alvenaria", "Alvenaria", "Alvenaria", "Alvenaria", "Alvenaria", "Alvenaria", "Alvenaria", "Alvenaria", "Alvenaria" ], "x0": " ", "xaxis": "x", "y": [ 2, 1, 5, -1, -3, 1, 3, 1, 4, 2, 5 ], "y0": " ", "yaxis": "y" } ], "layout": { "autosize": true, "boxmode": "overlay", "legend": { "title": { "text": "Categoria" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Distribuição de Atrasos por Categoria de Atividade" }, "xaxis": { "anchor": "y", "autorange": true, "categoryarray": [ "Cobertura", "Instalações", "Fundação", "Acabamento", "Alvenaria" ], "categoryorder": "array", "domain": [ 0, 1 ], "range": [ -0.5, 4.5 ], "title": { "text": "Categoria" }, "type": "category" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ -5.722222222222222, 8.722222222222221 ], "title": { "text": "Atraso_dias" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.box(df, x=\"Categoria\", y=\"Atraso_dias\", color=\"Categoria\",\n", " title=\"Distribuição de Atrasos por Categoria de Atividade\")\n", "fig.show()" ] }, { "cell_type": "markdown", "id": "1385fe95-b858-455d-ad6c-0ed92d3244f4", "metadata": {}, "source": [ "**2. Linha do tempo Planejado vs Realizado**\n", "- Explicação: o gráfico de timeline (Gantt simplificado) mostra o cronograma planejado e o realizado. Visualize sobreposições, atrasos e duração real.\n" ] }, { "cell_type": "code", "execution_count": 7, "id": "7f69c37e-a0c8-4ec7-ae59-24653ef1ee5c", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "base": [ "2024-01-01T00:00:00", "2024-01-13T00:00:00", "2024-01-26T00:00:00", "2024-02-05T00:00:00", "2024-02-07T00:00:00", "2024-02-12T00:00:00", "2024-02-25T00:00:00", "2024-02-27T00:00:00", "2024-03-13T00:00:00", "2024-03-28T00:00:00", "2024-04-05T00:00:00", "2024-04-07T00:00:00", "2024-04-17T00:00:00", "2024-05-10T00:00:00", "2024-05-15T00:00:00", "2024-05-22T00:00:00", "2024-05-25T00:00:00", "2024-06-24T00:00:00", "2024-06-29T00:00:00", "2024-07-06T00:00:00", "2024-07-16T00:00:00", "2024-08-10T00:00:00", "2024-08-18T00:00:00", "2024-08-25T00:00:00", "2024-09-04T00:00:00" ], "hovertemplate": "Categoria=Cobertura
Data_Planejada=%{base}
Data_Planejada_Fim=%{x}
Atividade=%{y}", "legendgroup": "Cobertura", "marker": { "color": "#636efa", "pattern": { "shape": "" } }, "name": "Cobertura", "offsetgroup": "Cobertura", "orientation": "h", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ 777600000, 777600000, 1123200000, 864000000, 864000000, 691200000, 691200000, 345600000, 691200000, 1036800000, 432000000, 1209600000, 432000000, 950400000, 345600000, 1036800000, 604800000, 864000000, 345600000, 1036800000, 1036800000, 604800000, 864000000, 1209600000, 259200000 ], "xaxis": "x", "y": [ "Atividade 1", "Atividade 6", "Atividade 11", "Atividade 15", "Atividade 16", "Atividade 18", "Atividade 23", "Atividade 24", "Atividade 30", "Atividade 36", "Atividade 39", "Atividade 40", "Atividade 44", "Atividade 53", "Atividade 55", "Atividade 58", "Atividade 59", "Atividade 71", "Atividade 73", "Atividade 76", "Atividade 80", "Atividade 90", "Atividade 93", "Atividade 96", "Atividade 100" ], "yaxis": "y" }, { "alignmentgroup": "True", "base": [ "2024-01-03T00:00:00", "2024-01-06T00:00:00", "2024-01-18T00:00:00", "2024-01-28T00:00:00", "2024-02-02T00:00:00", "2024-02-10T00:00:00", "2024-02-15T00:00:00", "2024-02-20T00:00:00", "2024-02-22T00:00:00", "2024-03-11T00:00:00", "2024-03-26T00:00:00", "2024-04-25T00:00:00", "2024-05-02T00:00:00", "2024-05-05T00:00:00", "2024-05-07T00:00:00", "2024-05-17T00:00:00", "2024-05-27T00:00:00", "2024-06-01T00:00:00", "2024-06-16T00:00:00", "2024-07-09T00:00:00", "2024-07-19T00:00:00", "2024-07-21T00:00:00", "2024-07-26T00:00:00", "2024-07-29T00:00:00", "2024-07-31T00:00:00", "2024-08-23T00:00:00", "2024-08-28T00:00:00" ], "hovertemplate": "Categoria=Instalações
Data_Planejada=%{base}
Data_Planejada_Fim=%{x}
Atividade=%{y}", "legendgroup": "Instalações", "marker": { "color": "#EF553B", "pattern": { "shape": "" } }, "name": "Instalações", "offsetgroup": "Instalações", "orientation": "h", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ 518400000, 1123200000, 432000000, 864000000, 518400000, 432000000, 604800000, 864000000, 1209600000, 1036800000, 1123200000, 777600000, 777600000, 345600000, 518400000, 1036800000, 345600000, 1209600000, 259200000, 518400000, 1209600000, 345600000, 518400000, 864000000, 777600000, 950400000, 1209600000 ], "xaxis": "x", "y": [ "Atividade 2", "Atividade 3", "Atividade 8", "Atividade 12", "Atividade 14", "Atividade 17", "Atividade 19", "Atividade 21", "Atividade 22", "Atividade 29", "Atividade 35", "Atividade 47", "Atividade 50", "Atividade 51", "Atividade 52", "Atividade 56", "Atividade 60", "Atividade 62", "Atividade 68", "Atividade 77", "Atividade 81", "Atividade 82", "Atividade 84", "Atividade 85", "Atividade 86", "Atividade 95", "Atividade 97" ], "yaxis": "y" }, { "alignmentgroup": "True", "base": [ "2024-01-08T00:00:00", "2024-01-21T00:00:00", "2024-01-23T00:00:00", "2024-03-01T00:00:00", "2024-03-03T00:00:00", "2024-03-08T00:00:00", "2024-03-16T00:00:00", "2024-03-18T00:00:00", "2024-04-02T00:00:00", "2024-04-10T00:00:00", "2024-04-15T00:00:00", "2024-04-27T00:00:00", "2024-04-30T00:00:00", "2024-05-12T00:00:00", "2024-05-20T00:00:00", "2024-05-30T00:00:00", "2024-06-04T00:00:00", "2024-06-21T00:00:00", "2024-06-26T00:00:00", "2024-07-01T00:00:00", "2024-07-11T00:00:00", "2024-07-14T00:00:00", "2024-08-08T00:00:00", "2024-08-13T00:00:00", "2024-08-30T00:00:00", "2024-09-02T00:00:00" ], "hovertemplate": "Categoria=Fundação
Data_Planejada=%{base}
Data_Planejada_Fim=%{x}
Atividade=%{y}", "legendgroup": "Fundação", "marker": { "color": "#00cc96", "pattern": { "shape": "" } }, "name": "Fundação", "offsetgroup": "Fundação", "orientation": "h", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ 864000000, 777600000, 1123200000, 1209600000, 604800000, 1209600000, 1209600000, 950400000, 1209600000, 777600000, 950400000, 604800000, 950400000, 1209600000, 950400000, 518400000, 1209600000, 345600000, 518400000, 691200000, 691200000, 345600000, 864000000, 345600000, 1209600000, 950400000 ], "xaxis": "x", "y": [ "Atividade 4", "Atividade 9", "Atividade 10", "Atividade 25", "Atividade 26", "Atividade 28", "Atividade 31", "Atividade 32", "Atividade 38", "Atividade 41", "Atividade 43", "Atividade 48", "Atividade 49", "Atividade 54", "Atividade 57", "Atividade 61", "Atividade 63", "Atividade 70", "Atividade 72", "Atividade 74", "Atividade 78", "Atividade 79", "Atividade 89", "Atividade 91", "Atividade 98", "Atividade 99" ], "yaxis": "y" }, { "alignmentgroup": "True", "base": [ "2024-01-11T00:00:00", "2024-01-31T00:00:00", "2024-04-20T00:00:00", "2024-04-22T00:00:00", "2024-06-06T00:00:00", "2024-06-19T00:00:00", "2024-07-04T00:00:00", "2024-07-24T00:00:00", "2024-08-05T00:00:00", "2024-08-15T00:00:00", "2024-08-20T00:00:00" ], "hovertemplate": "Categoria=Acabamento
Data_Planejada=%{base}
Data_Planejada_Fim=%{x}
Atividade=%{y}", "legendgroup": "Acabamento", "marker": { "color": "#ab63fa", "pattern": { "shape": "" } }, "name": "Acabamento", "offsetgroup": "Acabamento", "orientation": "h", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ 604800000, 604800000, 604800000, 432000000, 777600000, 518400000, 691200000, 1036800000, 950400000, 604800000, 1036800000 ], "xaxis": "x", "y": [ "Atividade 5", "Atividade 13", "Atividade 45", "Atividade 46", "Atividade 64", "Atividade 69", "Atividade 75", "Atividade 83", "Atividade 88", "Atividade 92", "Atividade 94" ], "yaxis": "y" }, { "alignmentgroup": "True", "base": [ "2024-01-16T00:00:00", "2024-02-17T00:00:00", "2024-03-06T00:00:00", "2024-03-21T00:00:00", "2024-03-23T00:00:00", "2024-03-31T00:00:00", "2024-04-12T00:00:00", "2024-06-09T00:00:00", "2024-06-11T00:00:00", "2024-06-14T00:00:00", "2024-08-03T00:00:00" ], "hovertemplate": "Categoria=Alvenaria
Data_Planejada=%{base}
Data_Planejada_Fim=%{x}
Atividade=%{y}", "legendgroup": "Alvenaria", "marker": { "color": "#FFA15A", "pattern": { "shape": "" } }, "name": "Alvenaria", "offsetgroup": "Alvenaria", "orientation": "h", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ 1036800000, 345600000, 259200000, 259200000, 1123200000, 1209600000, 518400000, 1209600000, 864000000, 432000000, 1209600000 ], "xaxis": "x", "y": [ "Atividade 7", "Atividade 20", "Atividade 27", "Atividade 33", "Atividade 34", "Atividade 37", "Atividade 42", "Atividade 65", "Atividade 66", "Atividade 67", "Atividade 87" ], "yaxis": "y" } ], "layout": { "autosize": true, "barmode": "overlay", "legend": { "title": { "text": "Categoria" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Planejamento da Obra" }, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ "2023-12-17 18:40", "2024-09-27 05:20" ], "type": "date" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ 99.5, -0.5 ], "title": { "text": "Atividade" }, "type": "category" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "base": [ "2023-12-30T00:00:00", "2024-01-13T00:00:00", "2024-01-28T00:00:00", "2024-02-05T00:00:00", "2024-02-07T00:00:00", "2024-02-15T00:00:00", "2024-02-27T00:00:00", "2024-02-27T00:00:00", "2024-03-15T00:00:00", "2024-03-26T00:00:00", "2024-04-03T00:00:00", "2024-04-08T00:00:00", "2024-04-15T00:00:00", "2024-05-11T00:00:00", "2024-05-15T00:00:00", "2024-05-22T00:00:00", "2024-05-26T00:00:00", "2024-06-25T00:00:00", "2024-07-02T00:00:00", "2024-07-06T00:00:00", "2024-07-17T00:00:00", "2024-08-08T00:00:00", "2024-08-19T00:00:00", "2024-08-27T00:00:00", "2024-09-04T00:00:00" ], "hovertemplate": "Categoria=Cobertura
Data_Real_Inicio=%{base}
Data_Real_Fim=%{x}
Atividade=%{y}", "legendgroup": "Cobertura", "marker": { "color": "#636efa", "pattern": { "shape": "" } }, "name": "Cobertura", "offsetgroup": "Cobertura", "orientation": "h", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ 1209600000, 1123200000, 1036800000, 1123200000, 1296000000, 1123200000, 950400000, 691200000, 432000000, 1296000000, 345600000, 1468800000, 518400000, 1036800000, 345600000, 1296000000, 345600000, 604800000, 691200000, 1468800000, 1036800000, 432000000, 1123200000, 950400000, 432000000 ], "xaxis": "x", "y": [ "Atividade 1", "Atividade 6", "Atividade 11", "Atividade 15", "Atividade 16", "Atividade 18", "Atividade 23", "Atividade 24", "Atividade 30", "Atividade 36", "Atividade 39", "Atividade 40", "Atividade 44", "Atividade 53", "Atividade 55", "Atividade 58", "Atividade 59", "Atividade 71", "Atividade 73", "Atividade 76", "Atividade 80", "Atividade 90", "Atividade 93", "Atividade 96", "Atividade 100" ], "yaxis": "y" }, { "alignmentgroup": "True", "base": [ "2024-01-01T00:00:00", "2024-01-07T00:00:00", "2024-01-21T00:00:00", "2024-01-26T00:00:00", "2024-01-31T00:00:00", "2024-02-13T00:00:00", "2024-02-13T00:00:00", "2024-02-20T00:00:00", "2024-02-25T00:00:00", "2024-03-11T00:00:00", "2024-03-27T00:00:00", "2024-04-23T00:00:00", "2024-05-05T00:00:00", "2024-05-06T00:00:00", "2024-05-10T00:00:00", "2024-05-15T00:00:00", "2024-05-25T00:00:00", "2024-05-30T00:00:00", "2024-06-17T00:00:00", "2024-07-09T00:00:00", "2024-07-22T00:00:00", "2024-07-21T00:00:00", "2024-07-24T00:00:00", "2024-07-29T00:00:00", "2024-07-29T00:00:00", "2024-08-25T00:00:00", "2024-08-30T00:00:00" ], "hovertemplate": "Categoria=Instalações
Data_Real_Inicio=%{base}
Data_Real_Fim=%{x}
Atividade=%{y}", "legendgroup": "Instalações", "marker": { "color": "#EF553B", "pattern": { "shape": "" } }, "name": "Instalações", "offsetgroup": "Instalações", "orientation": "h", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ 777600000, 1555200000, 345600000, 777600000, 604800000, 691200000, 950400000, 604800000, 1468800000, 950400000, 1209600000, 777600000, 950400000, 172800000, 950400000, 1296000000, 86400000, 1641600000, 604800000, 518400000, 1468800000, 172800000, 259200000, 950400000, 518400000, 691200000, 1123200000 ], "xaxis": "x", "y": [ "Atividade 2", "Atividade 3", "Atividade 8", "Atividade 12", "Atividade 14", "Atividade 17", "Atividade 19", "Atividade 21", "Atividade 22", "Atividade 29", "Atividade 35", "Atividade 47", "Atividade 50", "Atividade 51", "Atividade 52", "Atividade 56", "Atividade 60", "Atividade 62", "Atividade 68", "Atividade 77", "Atividade 81", "Atividade 82", "Atividade 84", "Atividade 85", "Atividade 86", "Atividade 95", "Atividade 97" ], "yaxis": "y" }, { "alignmentgroup": "True", "base": [ "2024-01-08T00:00:00", "2024-01-19T00:00:00", "2024-01-26T00:00:00", "2024-03-03T00:00:00", "2024-03-06T00:00:00", "2024-03-06T00:00:00", "2024-03-17T00:00:00", "2024-03-19T00:00:00", "2024-04-04T00:00:00", "2024-04-11T00:00:00", "2024-04-16T00:00:00", "2024-04-29T00:00:00", "2024-04-28T00:00:00", "2024-05-15T00:00:00", "2024-05-18T00:00:00", "2024-05-30T00:00:00", "2024-06-06T00:00:00", "2024-06-21T00:00:00", "2024-06-24T00:00:00", "2024-07-01T00:00:00", "2024-07-13T00:00:00", "2024-07-16T00:00:00", "2024-08-09T00:00:00", "2024-08-13T00:00:00", "2024-08-30T00:00:00", "2024-09-03T00:00:00" ], "hovertemplate": "Categoria=Fundação
Data_Real_Inicio=%{base}
Data_Real_Fim=%{x}
Atividade=%{y}", "legendgroup": "Fundação", "marker": { "color": "#00cc96", "pattern": { "shape": "" } }, "name": "Fundação", "offsetgroup": "Fundação", "orientation": "h", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ 1209600000, 518400000, 1468800000, 1296000000, 518400000, 1382400000, 1123200000, 1036800000, 1641600000, 518400000, 950400000, 864000000, 864000000, 1382400000, 1382400000, 950400000, 1209600000, 432000000, 432000000, 864000000, 432000000, 86400000, 604800000, 172800000, 1036800000, 1036800000 ], "xaxis": "x", "y": [ "Atividade 4", "Atividade 9", "Atividade 10", "Atividade 25", "Atividade 26", "Atividade 28", "Atividade 31", "Atividade 32", "Atividade 38", "Atividade 41", "Atividade 43", "Atividade 48", "Atividade 49", "Atividade 54", "Atividade 57", "Atividade 61", "Atividade 63", "Atividade 70", "Atividade 72", "Atividade 74", "Atividade 78", "Atividade 79", "Atividade 89", "Atividade 91", "Atividade 98", "Atividade 99" ], "yaxis": "y" }, { "alignmentgroup": "True", "base": [ "2024-01-11T00:00:00", "2024-01-29T00:00:00", "2024-04-22T00:00:00", "2024-04-25T00:00:00", "2024-06-07T00:00:00", "2024-06-20T00:00:00", "2024-07-07T00:00:00", "2024-07-25T00:00:00", "2024-08-07T00:00:00", "2024-08-18T00:00:00", "2024-08-20T00:00:00" ], "hovertemplate": "Categoria=Acabamento
Data_Real_Inicio=%{base}
Data_Real_Fim=%{x}
Atividade=%{y}", "legendgroup": "Acabamento", "marker": { "color": "#ab63fa", "pattern": { "shape": "" } }, "name": "Acabamento", "offsetgroup": "Acabamento", "orientation": "h", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ 345600000, 345600000, 864000000, 691200000, 1209600000, 950400000, 1036800000, 950400000, 691200000, 777600000, 1123200000 ], "xaxis": "x", "y": [ "Atividade 5", "Atividade 13", "Atividade 45", "Atividade 46", "Atividade 64", "Atividade 69", "Atividade 75", "Atividade 83", "Atividade 88", "Atividade 92", "Atividade 94" ], "yaxis": "y" }, { "alignmentgroup": "True", "base": [ "2024-01-14T00:00:00", "2024-02-20T00:00:00", "2024-03-07T00:00:00", "2024-03-21T00:00:00", "2024-03-23T00:00:00", "2024-03-29T00:00:00", "2024-04-15T00:00:00", "2024-06-11T00:00:00", "2024-06-12T00:00:00", "2024-06-14T00:00:00", "2024-08-04T00:00:00" ], "hovertemplate": "Categoria=Alvenaria
Data_Real_Inicio=%{base}
Data_Real_Fim=%{x}
Atividade=%{y}", "legendgroup": "Alvenaria", "marker": { "color": "#FFA15A", "pattern": { "shape": "" } }, "name": "Alvenaria", "offsetgroup": "Alvenaria", "orientation": "h", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ 1382400000, 172800000, 604800000, 172800000, 864000000, 1468800000, 518400000, 1123200000, 1123200000, 604800000, 1555200000 ], "xaxis": "x", "y": [ "Atividade 7", "Atividade 20", "Atividade 27", "Atividade 33", "Atividade 34", "Atividade 37", "Atividade 42", "Atividade 65", "Atividade 66", "Atividade 67", "Atividade 87" ], "yaxis": "y" } ], "layout": { "autosize": true, "barmode": "overlay", "legend": { "title": { "text": "Categoria" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Execução Real da Obra" }, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ "2023-12-15 13:20", "2024-09-29 10:40" ], "type": "date" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ 99.5, -0.5 ], "title": { "text": "Atividade" }, "type": "category" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_sorted = df.sort_values(\"Data_Planejada\")\n", "\n", "fig = px.timeline(df_sorted, x_start=\"Data_Planejada\", x_end=\"Data_Planejada_Fim\",\n", " y=\"Atividade\", color=\"Categoria\", title=\"Planejamento da Obra\")\n", "fig.update_yaxes(autorange=\"reversed\")\n", "fig.show()\n", "\n", "fig2 = px.timeline(df_sorted, x_start=\"Data_Real_Inicio\", x_end=\"Data_Real_Fim\",\n", " y=\"Atividade\", color=\"Categoria\", title=\"Execução Real da Obra\")\n", "fig2.update_yaxes(autorange=\"reversed\")\n", "fig2.show()" ] }, { "cell_type": "markdown", "id": "4a7de459-3c7d-47e2-8881-2cc16b62162f", "metadata": {}, "source": [ "**3. Responsáveis com Maior Atraso Médio**\n", "- Explicação: esse gráfico destaca quais equipes ou fornecedores têm maior tendência a atrasos." ] }, { "cell_type": "code", "execution_count": 8, "id": "ca6c4b9b-e0b5-4352-aa83-a3bce2ede98b", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Responsável=%{x}
Atraso_dias=%{y}", "legendgroup": "Equipe A", "marker": { "color": "#636efa", "pattern": { "shape": "" } }, "name": "Equipe A", "offsetgroup": "Equipe A", "orientation": "v", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ "Equipe A" ], "xaxis": "x", "y": [ 1.6956521739130435 ], "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Responsável=%{x}
Atraso_dias=%{y}", "legendgroup": "Equipe B", "marker": { "color": "#EF553B", "pattern": { "shape": "" } }, "name": "Equipe B", "offsetgroup": "Equipe B", "orientation": "v", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ "Equipe B" ], "xaxis": "x", "y": [ 1.4333333333333333 ], "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Responsável=%{x}
Atraso_dias=%{y}", "legendgroup": "Equipe C", "marker": { "color": "#00cc96", "pattern": { "shape": "" } }, "name": "Equipe C", "offsetgroup": "Equipe C", "orientation": "v", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ "Equipe C" ], "xaxis": "x", "y": [ 0.875 ], "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Responsável=%{x}
Atraso_dias=%{y}", "legendgroup": "Terceiros", "marker": { "color": "#ab63fa", "pattern": { "shape": "" } }, "name": "Terceiros", "offsetgroup": "Terceiros", "orientation": "v", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ "Terceiros" ], "xaxis": "x", "y": [ 2.0869565217391304 ], "yaxis": "y" } ], "layout": { "autosize": true, "barmode": "relative", "legend": { "title": { "text": "Responsável" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Atraso Médio por Responsável" }, "xaxis": { "anchor": "y", "autorange": true, "categoryarray": [ "Equipe A", "Equipe B", "Equipe C", "Terceiros" ], "categoryorder": "array", "domain": [ 0, 1 ], "range": [ -0.5, 3.5 ], "title": { "text": "Responsável" }, "type": "category" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ 0, 2.196796338672769 ], "title": { "text": "Atraso_dias" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "media_atraso = df.groupby(\"Responsável\")[\"Atraso_dias\"].mean().reset_index()\n", "\n", "fig = px.bar(media_atraso, x=\"Responsável\", y=\"Atraso_dias\", color=\"Responsável\",\n", " title=\"Atraso Médio por Responsável\")\n", "fig.show()" ] }, { "cell_type": "markdown", "id": "1cdeacef-32d3-4680-bb91-320f2e0728e0", "metadata": {}, "source": [ "**4. Evolução das Entregas Planejadas vs Realizadas**\n", "- Explicação: linha de progresso mostra o andamento real comparado ao que foi planejado. Ideal para reuniões de acompanhamento (follow-up de obra)." ] }, { "cell_type": "code", "execution_count": 12, "id": "cd417f9b-0800-46ab-a6cd-8197e118c05a", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\ACER\\AppData\\Local\\Temp\\ipykernel_4128\\2174644170.py:7: FutureWarning:\n", "\n", "DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", "\n" ] }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "variable=Planejado
Data=%{x}
value=%{y}", "legendgroup": "Planejado", "line": { "color": "#636efa", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "Planejado", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ "2024-01-09", "2024-01-10", "2024-01-13", "2024-01-15", "2024-01-18", "2024-01-19", "2024-01-22", "2024-01-23", "2024-01-25", "2024-01-26", "2024-01-28", "2024-01-30", "2024-02-02", "2024-02-04", "2024-02-05", "2024-02-07", "2024-02-08", "2024-02-09", "2024-02-12", "2024-02-15", "2024-02-17", "2024-02-18", "2024-02-20", "2024-02-21", "2024-02-22", "2024-02-24", "2024-02-27", "2024-02-28", "2024-03-01", "2024-03-02", "2024-03-04", "2024-03-06", "2024-03-07", "2024-03-09", "2024-03-10", "2024-03-12", "2024-03-13", "2024-03-14", "2024-03-15", "2024-03-18", "2024-03-20", "2024-03-21", "2024-03-22", "2024-03-23", "2024-03-24", "2024-03-29", "2024-03-30", "2024-03-31", "2024-04-02", "2024-04-05", "2024-04-07", "2024-04-08", "2024-04-09", "2024-04-10", "2024-04-14", "2024-04-15", "2024-04-16", "2024-04-17", "2024-04-18", "2024-04-19", "2024-04-21", "2024-04-22", "2024-04-23", "2024-04-25", "2024-04-26", "2024-04-27", "2024-05-02", "2024-05-03", "2024-05-04", "2024-05-08", "2024-05-09", "2024-05-11", "2024-05-13", "2024-05-16", "2024-05-19", "2024-05-21", "2024-05-23", "2024-05-26", "2024-05-29", "2024-05-30", "2024-05-31", "2024-06-01", "2024-06-03", "2024-06-05", "2024-06-06", "2024-06-10", "2024-06-15", "2024-06-18", "2024-06-19", "2024-06-20", "2024-06-21", "2024-06-23", "2024-06-24", "2024-06-25", "2024-06-26", "2024-06-29", "2024-07-01", "2024-07-02", "2024-07-03", "2024-07-04", "2024-07-09", "2024-07-10", "2024-07-11", "2024-07-12", "2024-07-15", "2024-07-17", "2024-07-18", "2024-07-19", "2024-07-23", "2024-07-25", "2024-07-27", "2024-07-28", "2024-07-29", "2024-08-01", "2024-08-02", "2024-08-04", "2024-08-05", "2024-08-08", "2024-08-09", "2024-08-13", "2024-08-15", "2024-08-16", "2024-08-17", "2024-08-18", "2024-08-22", "2024-08-27", "2024-08-28", "2024-09-01", "2024-09-02", "2024-09-03", "2024-09-07", "2024-09-08", "2024-09-09", "2024-09-11", "2024-09-12", "2024-09-13", "2024-09-15" ], "xaxis": "x", "y": [ 1, 2, 2, 2, 4, 5, 6, 7, 7, 7, 8, 9, 9, 9, 10, 12, 14, 14, 14, 16, 17, 17, 18, 19, 20, 20, 20, 20, 21, 22, 23, 23, 24, 25, 26, 26, 26, 26, 27, 27, 27, 28, 29, 30, 31, 32, 33, 33, 33, 34, 34, 35, 36, 37, 38, 38, 39, 39, 40, 41, 42, 43, 43, 43, 44, 46, 46, 46, 48, 48, 49, 51, 52, 52, 53, 54, 54, 55, 56, 56, 58, 59, 60, 61, 61, 61, 63, 64, 66, 66, 67, 68, 68, 70, 70, 70, 70, 71, 72, 73, 74, 74, 74, 75, 76, 76, 78, 79, 79, 80, 80, 81, 81, 82, 83, 83, 84, 85, 86, 86, 86, 87, 90, 91, 92, 92, 93, 94, 94, 95, 96, 97, 97, 98, 98, 100, 100 ], "yaxis": "y" }, { "hovertemplate": "variable=Realizado
Data=%{x}
value=%{y}", "legendgroup": "Realizado", "line": { "color": "#EF553B", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "Realizado", "orientation": "v", "showlegend": true, "type": "scatter", "x": [ "2024-01-09", "2024-01-10", "2024-01-13", "2024-01-15", "2024-01-18", "2024-01-19", "2024-01-22", "2024-01-23", "2024-01-25", "2024-01-26", "2024-01-28", "2024-01-30", "2024-02-02", "2024-02-04", "2024-02-05", "2024-02-07", "2024-02-08", "2024-02-09", "2024-02-12", "2024-02-15", "2024-02-17", "2024-02-18", "2024-02-20", "2024-02-21", "2024-02-22", "2024-02-24", "2024-02-27", "2024-02-28", "2024-03-01", "2024-03-02", "2024-03-04", "2024-03-06", "2024-03-07", "2024-03-09", "2024-03-10", "2024-03-12", "2024-03-13", "2024-03-14", "2024-03-15", "2024-03-18", "2024-03-20", "2024-03-21", "2024-03-22", "2024-03-23", "2024-03-24", "2024-03-29", "2024-03-30", "2024-03-31", "2024-04-02", "2024-04-05", "2024-04-07", "2024-04-08", "2024-04-09", "2024-04-10", "2024-04-14", "2024-04-15", "2024-04-16", "2024-04-17", "2024-04-18", "2024-04-19", "2024-04-21", "2024-04-22", "2024-04-23", "2024-04-25", "2024-04-26", "2024-04-27", "2024-05-02", "2024-05-03", "2024-05-04", "2024-05-08", "2024-05-09", "2024-05-11", "2024-05-13", "2024-05-16", "2024-05-19", "2024-05-21", "2024-05-23", "2024-05-26", "2024-05-29", "2024-05-30", "2024-05-31", "2024-06-01", "2024-06-03", "2024-06-05", "2024-06-06", "2024-06-10", "2024-06-15", "2024-06-18", "2024-06-19", "2024-06-20", "2024-06-21", "2024-06-23", "2024-06-24", "2024-06-25", "2024-06-26", "2024-06-29", "2024-07-01", "2024-07-02", "2024-07-03", "2024-07-04", "2024-07-09", "2024-07-10", "2024-07-11", "2024-07-12", "2024-07-15", "2024-07-17", "2024-07-18", "2024-07-19", "2024-07-23", "2024-07-25", "2024-07-27", "2024-07-28", "2024-07-29", "2024-08-01", "2024-08-02", "2024-08-04", "2024-08-05", "2024-08-08", "2024-08-09", "2024-08-13", "2024-08-15", "2024-08-16", "2024-08-17", "2024-08-18", "2024-08-22", "2024-08-27", "2024-08-28", "2024-09-01", "2024-09-02", "2024-09-03", "2024-09-07", "2024-09-08", "2024-09-09", "2024-09-11", "2024-09-12", "2024-09-13", "2024-09-15" ], "xaxis": "x", "y": [ null, 1, 2, 3, 3, 3, 4, 4, 7, 8, 8, 9, 10, 11, 11, 12, 12, 13, 14, 14, 14, 15, 15, 16, 18, 19, 20, 21, 21, 21, 21, 22, 22, 23, 23, 24, 25, 26, 26, 27, 28, 28, 30, 31, 31, 31, 32, 33, 34, 34, 35, 35, 35, 37, 37, 38, 38, 39, 39, 39, 41, 41, 42, 43, 43, 44, 46, 47, 47, 49, 50, 50, 50, 51, 52, 53, 54, 55, 55, 57, 58, 58, 59, 59, 60, 61, 61, 62, 62, 63, 65, 65, 67, 68, 69, 70, 71, 72, 72, 72, 72, 73, 74, 74, 75, 76, 77, 78, 80, 80, 81, 81, 82, 82, 82, 83, 84, 85, 86, 87, 89, 90, 90, 90, 91, 92, 92, 93, 95, 95, 96, 96, 97, 98, 99, 99, 100 ], "yaxis": "y" } ], "layout": { "autosize": true, "legend": { "title": { "text": "variable" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Evolução Acumulada de Entregas: Planejado vs Realizado" }, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ "2024-01-09", "2024-09-15" ], "title": { "text": "Data" }, "type": "date" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ -4.5, 105.5 ], "title": { "text": "value" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df[\"Entrega_Planejada\"] = df[\"Data_Planejada_Fim\"].dt.date\n", "df[\"Entrega_Real\"] = df[\"Data_Real_Fim\"].dt.date\n", "\n", "entregas = pd.DataFrame({\n", " \"Planejado\": df.groupby(\"Entrega_Planejada\").size().cumsum(),\n", " \"Realizado\": df.groupby(\"Entrega_Real\").size().cumsum()\n", "}).fillna(method='ffill').reset_index().rename(columns={\"index\": \"Data\"})\n", "\n", "fig = px.line(entregas, x=\"Data\", y=[\"Planejado\", \"Realizado\"],\n", " title=\"Evolução Acumulada de Entregas: Planejado vs Realizado\")\n", "fig.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.4" } }, "nbformat": 4, "nbformat_minor": 5 }